Lóránd Erőss

4.1k citations
88 papers · 2.5k · h-index 22

Impact in

Papers in

Lóránd Erőss

78 papers receiving 2.4k citations

Peers

Lóránd Erőss
Comparison fields: 5 of 105
  • Cognitive Neuroscience 1.7k
  • Cellular and Molecular Neuroscience 1.3k
  • Psychiatry and Mental health 436
  • Developmental Neuroscience 99
  • Endocrine and Autonomic Systems 146
Replace Helen E. Savaki with:
Helen E. Savaki Greece
Thomas Seidenbecher Germany
Mathieu Milh France
Jee Hoon Roh South Korea
James B. Daunais United States
Steven C. Leiser United States
Jürgen Germann Canada
Ralf Wimmer Germany
Anita Kamondi Hungary
Andrew J. D. Nelson United Kingdom
Lóránd Erőss relative to Helen E. Savaki Greece Helen E. Savaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lóránd Erőss

Since Specialization
Citations

This map shows the geographic impact of Lóránd Erőss's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lóránd Erőss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lóránd Erőss more than expected).

Fields of papers citing papers by Lóránd Erőss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lóránd Erőss. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lóránd Erőss. The network helps show where Lóránd Erőss may publish in the future.

Co-authors

The 25 scholars most cited alongside Lóránd Erőss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lóránd Erőss Line = papers co-authored together Lóránd Erőss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007290
2 2009272
3 2019243
4 2008198
5 2010164
6 2001148
7 200183
8 201083
9 200273
10 200963
11 201463
12 201060
13 200550
14 200749
15 199947
16 201844
17 201734
18 202033
19 201832
20 200931

About Lóránd Erőss

Lóránd Erőss is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Neurology and Neurology, having authored 88 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (29 papers), Neural dynamics and brain function (23 papers), Epilepsy research and treatment (22 papers), EEG and Brain-Computer Interfaces (20 papers), Neurological disorders and treatments (17 papers), Sleep and Wakefulness Research (16 papers), Neuroscience and Neural Engineering (12 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (1.3k citations), Psychiatry and Mental health (436 citations), Developmental Neuroscience (99 citations) and Endocrine and Autonomic Systems (146 citations). Lóránd Erőss has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Péter Halász, Lúcia Wittner, Zsófia Clemens, Jan Born, Dániel Fabó, István Ulbert, P. Halász, Tamás F. Freund, Péter Barsi and György Rásonyi. Their work appears in journals such as Scientific Reports, Epilepsia, Brain, The Journal of Physiology and Seizure.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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